---
title: «robots will take every single job, there'll be nothing left for us»… — Robots at work and at home · tree and pragmatics
description: «robots will take every single job, there'll be nothing left for us» What is closer to the truth? Test 10 · ★ of lesson 39 «Robots at work and at home» of the technology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was rig
---

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# Test 10 · ★ · Robots at work and at home

<!-- .ven lang=en -->
«robots will take every single job, there'll be nothing left for us» What is closer to the truth?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **Who acts:** robots · **What happens:** take, leave, be · **To what, where:** single job · **Speech:** someone speaks here

<!-- .vabout -->
This is test 10 · ★ of lesson 39 «Robots at work and at home» of the technology course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/technology/39-robots-at-work-and-at-home/#t10).

## The question {#question}

```conllu
# sent_id = question:technology:39-robots-at-work-and-at-home:t10:1
# text = «robots will take every single job, there'll be nothing left for us» What is closer to the truth?
1	«	«	PUNCT	``	_	4	punct	_	SpaceAfter=No
2	robots	robot	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	will	will	AUX	MD	VerbForm=Fin	4	aux	_	_
4	take	take	VERB	VB	VerbForm=Inf	0	root	_	_
5	every	every	DET	DT	PronType=Tot	7	det	_	_
6	single	single	ADJ	JJ	Degree=Pos	7	amod	_	_
7	job	job	NOUN	NN	Number=Sing	4	obj	_	SpaceAfter=No
8	,	,	PUNCT	,	_	11	punct	_	_
9	there	there	PRON	EX	PronType=Dem	11	expl	_	SpaceAfter=No
10	'll	will	AUX	MD	VerbForm=Fin	11	aux	_	_
11	be	be	AUX	VB	VerbForm=Inf	4	advcl	_	_
12	nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	11	nsubj	_	_
13	left	leave	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	12	acl	_	_
14	for	for	ADP	IN	_	15	case	_	_
15	us	we	PRON	PRP	Case=Acc|Number=Plur|Person=1|PronType=Prs	13	obl	_	SpaceAfter=No
16	»	»	PUNCT	''	_	4	punct	_	_
17	What	what	PRON	WP	PronType=Int	19	nsubj	_	_
18	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	19	cop	_	_
19	closer	close	ADJ	JJR	Degree=Cmp	4	parataxis	_	_
20	to	to	ADP	IN	_	22	case	_	_
21	the	the	DET	DT	Definite=Def|PronType=Art	22	det	_	_
22	truth	truth	NOUN	NN	Number=Sing	19	obl	_	SpaceAfter=No
23	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **take** *in a quote* | future | robots | every single job |  |  |  |  | vn characterize-29.2 «NP V NP to be ADJ»: agent=Agent job=Theme clause=Attribute |
| 2 | **leave** *in a quote* | participle |  |  |  |  |  | for us | vn fulfilling-13.4.1 «NP V NP PP.recipient»: agent=Agent for we=Recipient |
| 3 | **is** | present |  |  |  |  |  | to the truth; close *property* | tree rules |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Robots only work on Mars

```conllu
# sent_id = question:technology:39-robots-at-work-and-at-home:t10:o1:1
# text = Robots only work on Mars
1	Robots	robot	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	only	only	ADV	RB	_	3	advmod	_	_
3	work	work	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	on	on	ADP	IN	_	5	case	_	_
5	Mars	Mars	PROPN	NNP	Number=Sing	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **work** | present | Robots |  |  |  |  | on Mars | vn employment-95.3 «NP V PP.theme»: agent=Agent on mars=Theme |

### Option 2 · ← Mova's choice · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Robots take over repetitive tasks, and people still design, fix and run them

<!-- fold The tree, 13 words -->
```conllu
# sent_id = question:technology:39-robots-at-work-and-at-home:t10:o2:1
# text = Robots take over repetitive tasks, and people still design, fix and run them
1	Robots	robot	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	take	take	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	over	over	ADP	RP	_	2	compound:prt	_	_
4	repetitive	repetitive	ADJ	JJ	Degree=Pos	5	amod	_	_
5	tasks	task	NOUN	NNS	Number=Plur	2	obj	_	SpaceAfter=No
6	,	,	PUNCT	,	_	10	punct	_	_
7	and	and	CCONJ	CC	_	10	cc	_	_
8	people	people	NOUN	NNS	Number=Plur	10	nsubj	_	_
9	still	still	ADV	RB	_	10	advmod	_	_
10	design	design	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	SpaceAfter=No
11	,	,	PUNCT	,	_	12	punct	_	_
12	fix	fix	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	conj	_	_
13	and	and	CCONJ	CC	_	14	cc	_	_
14	run	run	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	conj	_	_
15	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	14	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **take over** | present | Robots | repetitive tasks |  |  |  |  | vn obtain-13.5.2 «NP V NP»: agent=Agent task=Theme |
| 2 | **design** | present | people |  |  |  | still |  | vn create-26.4-1-1 «NP V»: agent=Agent |
| 3 | **fix** | present | people *not said here* |  |  |  |  |  | vn shake-22.3-2 «NP V ADV-Middle»: agent=Patient |
| 4 | **run** | present | people *not said here* | people |  |  |  |  | vn run-51.3.2-2-1 «NP V NP»: agent=Theme they=Trajectory |

### Option 3 {#o3}

<!-- .ven lang=en -->
Robots cannot do any job at all

```conllu
# sent_id = question:technology:39-robots-at-work-and-at-home:t10:o3:1
# text = Robots cannot do any job at all
1	Robots	robot	NOUN	NNS	Number=Plur	4	nsubj	_	_
2	can	can	AUX	MD	VerbForm=Fin	4	aux	_	SpaceAfter=No
3	not	not	PART	RB	Polarity=Neg	4	advmod	_	_
4	do	do	VERB	VB	VerbForm=Inf	0	root	_	_
5	any	any	DET	DT	PronType=Ind	6	det	_	_
6	job	job	NOUN	NN	Number=Sing	4	obj	_	_
7	at	at	ADP	IN	_	8	case	_	_
8	all	all	DET	DT	PronType=Tot	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **do** | can | Robots | any job |  | all |  |  | vn act-114-1 «NP V NP»: agent=Agent job=Eventuality |

### Option 4 {#o4}

<!-- .ven lang=en -->
Robots already do every job

```conllu
# sent_id = question:technology:39-robots-at-work-and-at-home:t10:o4:1
# text = Robots already do every job
1	Robots	robot	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	already	already	ADV	RB	_	3	advmod	_	_
3	do	do	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	every	every	DET	DT	PronType=Tot	5	det	_	_
5	job	job	NOUN	NN	Number=Sing	3	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | present | Robots | every job |  |  |  |  | vn act-114-1 «NP V NP»: agent=Agent job=Eventuality |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

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